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CPU Upgrade
Space description below title
Browse files- README.md +1 -1
- app.py +10 -0
- gr_client.py +52 -27
README.md
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@@ -1,5 +1,5 @@
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---
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-
title: xVASynth
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emoji: π£
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colorFrom: gray
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colorTo: gray
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---
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title: xVASynth TTS
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emoji: π£
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colorFrom: gray
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colorTo: gray
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app.py
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@@ -356,9 +356,19 @@ language_radio = gr.Radio(
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info="Will be more monotone and have an English accent. Tested mostly by a native Briton."
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)
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with gr.Blocks(css=".arpabet {display: inline-block; background-color: gray; border-radius: 5px; font-size: 120%; margin: 0.1em 0}") as demo:
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gr.Markdown("# xVASynth TTS")
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with gr.Row(): # Main row for inputs and language selection
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with gr.Column(): # Input column
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input_textbox = gr.Textbox(
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info="Will be more monotone and have an English accent. Tested mostly by a native Briton."
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)
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_DESCRIPTION = '''
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<div>
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<a style="display:inline-block;" href="https://github.com/DanRuta/xVA-Synth"><img src='https://img.shields.io/github/stars/DanRuta/xVA-Synth?style=social'/></a>
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<a style="display:inline-block; margin-left: .5em" href="https://discord.gg/nv7c6E2TzV"><img src='https://img.shields.io/discord/794590496202293278.svg?label=&logo=discord&logoColor=ffffff&color=7389D8&labelColor=6A7EC2'/></a>
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<span style="display: inline-block;margin-left: .5em;vertical-align: top;"><a href="https://huggingface.co/spaces/Pendrokar/xVASynth?duplicate=true" style="" target="_blank"><img style="margin-bottom: 0em;display: inline;" src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a> for a personal CPU-run</span>
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</div>
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'''
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with gr.Blocks(css=".arpabet {display: inline-block; background-color: gray; border-radius: 5px; font-size: 120%; margin: 0.1em 0}") as demo:
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gr.Markdown("# xVASynth TTS")
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gr.HTML(label="description", value=_DESCRIPTION)
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with gr.Row(): # Main row for inputs and language selection
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with gr.Column(): # Input column
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input_textbox = gr.Textbox(
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gr_client.py
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@@ -99,7 +99,7 @@ def predict(
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surprise,
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deepmoji_checked
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):
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wav_path, arpabet_html, angry, happy, sad, surprise = client.predict(
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input_text, # str in 'Input Text' Textbox component
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voice, # Literal['ccby_nvidia_hifi_6670_M', 'ccby_nv_hifi_11614_F', 'ccby_nvidia_hifi_11697_F', 'ccby_nvidia_hifi_12787_F', 'ccby_nvidia_hifi_6097_M', 'ccby_nvidia_hifi_6671_M', 'ccby_nvidia_hifi_8051_F', 'ccby_nvidia_hifi_9017_M', 'ccby_nvidia_hifi_9136_F', 'ccby_nvidia_hifi_92_F'] in 'Voice' Radio component
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lang, # Literal['en', 'de', 'es', 'it', 'fr', 'ru', 'tr', 'la', 'ro', 'da', 'vi', 'ha', 'nl', 'zh', 'ar', 'uk', 'hi', 'ko', 'pl', 'sw', 'fi', 'hu', 'pt', 'yo', 'sv', 'el', 'wo', 'jp'] in 'Language' Radio component
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api_name="/predict"
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)
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return [
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wav_path,
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arpabet_html,
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# round(json_data['em_angry'][0], 2),
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# round(json_data['em_happy'][0], 2),
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# round(json_data['em_sad'][0], 2),
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# round(json_data['em_surprise'][0], 2)
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]
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input_textbox = gr.Textbox(
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info="Will be more monotone and have an English accent. Tested mostly by a native Briton."
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)
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-
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gr.Markdown("# xVASynth TTS")
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with gr.Row(): # Main row for inputs and language selection
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with gr.Column(): # Input column
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input_textbox = gr.Textbox(
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deepmoji_checkbox = gr.Checkbox(label="Use DeepMoji", info="Auto adjust emotional values", value=True)
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# Event handling using click
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btn = gr.Button("Generate")
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with gr.Row(): # Main row for inputs and language selection
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btn.click(
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fn=predict,
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surprise,
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deepmoji_checked
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):
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wav_path, arpabet_html, angry, happy, sad, surprise, response = client.predict(
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input_text, # str in 'Input Text' Textbox component
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voice, # Literal['ccby_nvidia_hifi_6670_M', 'ccby_nv_hifi_11614_F', 'ccby_nvidia_hifi_11697_F', 'ccby_nvidia_hifi_12787_F', 'ccby_nvidia_hifi_6097_M', 'ccby_nvidia_hifi_6671_M', 'ccby_nvidia_hifi_8051_F', 'ccby_nvidia_hifi_9017_M', 'ccby_nvidia_hifi_9136_F', 'ccby_nvidia_hifi_92_F'] in 'Voice' Radio component
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lang, # Literal['en', 'de', 'es', 'it', 'fr', 'ru', 'tr', 'la', 'ro', 'da', 'vi', 'ha', 'nl', 'zh', 'ar', 'uk', 'hi', 'ko', 'pl', 'sw', 'fi', 'hu', 'pt', 'yo', 'sv', 'el', 'wo', 'jp'] in 'Language' Radio component
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api_name="/predict"
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)
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json_data = json.loads(response)
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arpabet_html = '<h6>ARPAbet & Durations</h6>'
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arpabet_html += '<table style="margin: 0 var(--size-2)"><tbody><tr>'
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arpabet_nopad = json_data['arpabet'].split('|PAD|')
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arpabet_symbols = json_data['arpabet'].split('|')
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wpad_len = len(arpabet_symbols)
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nopad_len = len(arpabet_nopad)
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total_dur_length = 0
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for symb_i in range(wpad_len):
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if (arpabet_symbols[symb_i] == '<PAD>'):
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continue
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total_dur_length += float(json_data['durations'][symb_i])
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print(total_dur_length)
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for symb_i in range(wpad_len):
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if (arpabet_symbols[symb_i] == '<PAD>'):
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continue
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arpabet_length = float(json_data['durations'][symb_i])
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cell_width = round(arpabet_length / total_dur_length * 100, 2)
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arpabet_html += '<td class="arpabet" style="width: '\
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+ str(cell_width)\
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+'%">'\
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+ arpabet_symbols[symb_i]\
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+ '</td> '
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arpabet_html += '<tr></tbody></table>'
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return [
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wav_path,
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arpabet_html,
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round(json_data['em_angry'][0], 2),
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round(json_data['em_happy'][0], 2),
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round(json_data['em_sad'][0], 2),
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round(json_data['em_surprise'][0], 2)
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]
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input_textbox = gr.Textbox(
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info="Will be more monotone and have an English accent. Tested mostly by a native Briton."
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)
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_DESCRIPTION = '''
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<div>
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<a style="display:inline-block;" href="https://github.com/DanRuta/xVA-Synth"><img src='https://img.shields.io/github/stars/DanRuta/xVA-Synth?style=social'/></a>
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<a style="display:inline-block; margin-left: .5em" href="https://discord.gg/nv7c6E2TzV"><img src='https://img.shields.io/discord/794590496202293278.svg?label=&logo=discord&logoColor=ffffff&color=7389D8&labelColor=6A7EC2'/></a>
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<span style="display: inline-block;margin-left: .5em;vertical-align: top;"><a href="https://huggingface.co/spaces/Pendrokar/xVASynth?duplicate=true" style="" target="_blank"><img style="margin-bottom: 0em;display: inline;" src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a> for a personal CPU-run</span>
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</div>
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'''
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with gr.Blocks(css=".arpabet {background-color: gray; border-radius: 5px; font-size: 120%; padding: 0 0.1em; margin: 0 0.1em; text-align: center}") as demo:
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gr.Markdown("# xVASynth TTS")
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gr.HTML(label="description", value=_DESCRIPTION)
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with gr.Row(): # Main row for inputs and language selection
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with gr.Column(): # Input column
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input_textbox = gr.Textbox(
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deepmoji_checkbox = gr.Checkbox(label="Use DeepMoji", info="Auto adjust emotional values", value=True)
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# Event handling using click
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btn = gr.Button("Generate", variant="primary")
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# with gr.Row(): # Main row for inputs and language selection
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# with gr.Column(): # Input column
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output_wav = gr.Audio(
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label="22kHz audio output",
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type="filepath",
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editable=False,
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autoplay=True
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)
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# with gr.Column(): # Input column
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output_arpabet = gr.HTML(label="ARPAbet")
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btn.click(
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fn=predict,
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